About me

I am a permanent researcher (Chargée de recherche (CR)) at the STARS team at INRIA Méditerranée in Sophia Antipolis, France, where I have been since 2014.

My research is in computer vision and image processing. My latest results deal with face analyis and synthesis in healthare and security. 

I am also interested and involved in other areas, such as combining image processing and statistics towards analysis and algorithmic design of soft biometrics systems, video surveillance systems, beauty estimation, as well as the impact of facial cosmetics on automated biometric systems.

News

  • I am looking for a Ph.D. student in the area of Computer Vision and Deep Learning applied to Deepfake detection. For more information see here.
  • We (Wenjin Wang (Eindhoven University of Technology, Netherlands), Xiaobai Li (University of Oulu, Finland), Daniel McDuff (Microsoft Research, USA), Sander Stuijk (Eindhoven University of Technology, Netherlands), Hu Han (Chinese Academy of Sciences, China), Antitza Dantcheva (Inria, France), Guoying Zhao (University of Oulu, Finland), Shiguan Shan (Chinese Academy of Sciencces, China)) are organizing a workshop and challenge on Computer Vision for Physiological Measurement in conjunction with the Conference on Computer Vision and Pattern Recognition (CVPR'20).
  • We (Antitza Dantcheva (Inria, France), Abhijit Das (Inria, France), Francois Bremond (Inria, France), Hu Han (Chinese Academy of Sciencces, China) and  Xilin Chen (Chinese Academy of Sciences, China)) are organizing a special session on Computer Vision for automated Human Health Monitoring at the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG'20). For details, see here.
  • We (Antitza Dantcheva (Inria, France), SL Happy (Inria, France), Tamara Rezk (Inria, France) and Cunjian Chen (Michigan State University, USA)) are organizing a special session on advances and challenges in Face and Gesture based Security Systems (ACFGSS) at the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG'20). For details, see here.
  • We (Cunjian Chen (Michigan State University, USA), Adam Czajka (University of Notre Dae, USA), Naser Damer (Fraunhofer IGD, Germany), Antitza Dantcheva (Inria, France), Hu Han (Chinese Academy of Sciences (CAS), China), Kiran Raja (NTNU, Norway) and Raghavendra Ramachandra (NTNU, Norway)) are organizing a workshop on Deepfakes and Presentation Attacks in Biometrics in conjunction with the Winter Conference on Appliations of Computer Vision (WACV'20). For details, see here.
  • I was interviewed for an article in Science et Vie on facial analysis, see the full article here.
  • We recceived a Best Poster Award at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019) in Lille, France (the flagship face analysis conference) for the paper: "Robust remote heart rate estimation from face utilizing spatial-temporal attention" authored by Xuesong Niu, Xingyuan Zhao, Hu Han, Abhijit Das, Antitza Dantcheva, Shiguang Shan and Xilin Chen.
  • The ANR - DFG Project RESPECT launched.
  • We (Shiguang Shan (Chinese Academy of Sciencces, China), Hu Han (Chinese Academy of Sciencces, China), Abhijit Das (Inria, France), Antitza Dantcheva (Inria, France)) are organizing the Robust Tattoo Detection and Retrieval Competition (RTDRC 2019) associated to the 10th IEEE International Conferencce on Biometrics: Theory, Applications and Systems (BTAS 2019). 
  • We (Wael Abd-Almageed (USC, USA), Antitza Dantcheva (Inria, France), Sebastien Marcel (Idiap, Switzerland)) are organizing a special session on The Future of Biometrics beyond Recognition and Anti-Spoofing at the 12th IAPR International Conference on Biometrics (ICB'19). For details, see here.
  • I was interviewed for an aticle in Charlie Hebdo on facial recognition, see the full article here.
  • We (Abhijit Das (Inria, France), Hu Han (Chinese Academy of Sciencces, China), Antitza Dantcheva (Inria, France), Francois Bremond (Inria, France), Xilin Chen (Chinese Academy of Sciences, China)) are organizing a special session on human health monitoring based on computer vision at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG'19). For details, see here.
  • We (Abhijit Das, Antitza Dantcheva, Francois Bremond) won the ECCV'18 challenge on bias estimation in face analysis (BEFA). The challenge placed focus on a pertinent, but largely neglected issue - the biasness of face analytics datasets, with respect to factors such as age, gender, ethnicity, pose and resolution. In order to progress toward balanced face recognition and attribute estimation truly in the wild, the BEFA - challenge introduced a well-balanced dataset across multiple factors: age, gender, ethnicity, pose and resolution and requested for algorithms to estimate biases.
    We proposed a Multi-Task Convolutional Neural Network (MTCNN) algorithm that jointly learned gender, age and ethnicity by a loss function involving joint dynamic loss weight adjustment and was successful, as well as relatively unbiased in estimating age, gender and ethnicity. More details here.
  • We found a Ph.D. student in the area of Computer Vision and Deep Learning applied to Facial Analysis in invisibe spectra.
  • We are organizing a special session on mobile biometrics at the 9th international conference on biometrics: theory, applications and systems (BTAS'18). For details, see here.
  • My Inria - Chinese Academy of Sciences joint research project FER4HM launched, see here.
  • My ANR JCJC research project ENVISION launched, see the related website here.
  • I was interviewed for an aticle in Le Monde on biometrics, see the full article here.